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With Biocep-R, We propose to build on top the mainstream Statistical and Scientific Computing Environments (R,cilab, Matlab, SAS..) a federative and user-centric OSS platform for High Performance Computing, data analysis and collaboration. Biocep-R computational engines can be running locally or remotely (on Servers/Clusters/Grids/Clouds) and can be accessed from the Researcher's laptop. The Researcher can use an extensible cross-platform workbench to pilot the engines and can also control them programmatically.
The workbench includes highly programmable server-side spreadsheets fully integrated with the SCEs functions and data and that can be mirrored to Excel's spreadsheets.
Multiple Researchers can connect simultaneously to the same the remote computational engine and use it collaboratively via a set of broadcasted views .
The Researcher can easily create or connect to multiple engines running on one or multiple heterogeneous infrastructures and use them for parallel computing. The plug-ins architecture offers a highly innovative way to produce and distribute SCE-based User Interfaces for Academia (Science gateways) and Industry (Financial Dashboards, What-if-analysis user interfaces, analytical applications...). Biocep-R on local virtual appliances opens new perspectives for reproducible computational research.
Virtual Machines with R,Scilab and Biocep are publically available on Amazon's Elastic Cloud and can be run on demand to perform statistical/numerical computing using "unlimited" computational and storage resources. The Presentation will give an overview of this new platform and the main usage scenarios will be demonstarted.